Triple
T1847261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | March, Cambridgeshire |
E41310
|
entity |
| Predicate | postcodeArea |
P920
|
FINISHED |
| Object | PE |
E126904
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: PE | Statement: [March, Cambridgeshire, postcodeArea, PE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PE Context triple: [March, Cambridgeshire, postcodeArea, PE]
-
A.
PE
PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
-
B.
PE
chosen
PE is the official two-letter postal abbreviation used for Prince Edward Island, a Canadian province.
-
C.
Pe
Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
-
D.
P
P is the vehicle registration code used on license plates for the Czech city of Plzeň.
-
E.
EP
The EP is the directly elected legislative body of the European Union that works with other EU institutions to pass laws and oversee policies across member states.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb052e0a8819091bbc0da0e0a20fb |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9c2e0a081909f521e6f73956239 |
completed | March 8, 2026, 7:10 p.m. |
Created at: March 4, 2026, 7:33 p.m.